Lucas M. Fleuren
- Epidemiology top 10%
- Artificial Intelligence top 5%
- Pharmacology top 10%
- Health Informatics top 1%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Paul ElbersPatrick ThoralArmand R. J. GirbesLuca F. RoggeveenTingjie GuoAri ErcoleEleonora L. SwartMark Hoogendoorn
- Topics
- Sepsis Diagnosis and Treatment (12 papers)Antibiotics Pharmacokinetics and Efficacy (10 papers)Hemodynamic Monitoring and Therapy (7 papers)
- Journals
- American Journal of Respiratory and Critical Care MedicineAntimicrobial Agents and ChemotherapyPharmaceutical Research
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Lucas M. Fleuren
18 papers receiving 694 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Epidemiology 345
- Artificial Intelligence 217
- Pharmacology 113
- Health Informatics 91
- Radiology, Nuclear Medicine and Imaging 81
Countries citing papers authored by Lucas M. Fleuren
This map shows the geographic impact of Lucas M. Fleuren's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lucas M. Fleuren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas M. Fleuren more than expected).
Fields of papers citing papers by Lucas M. Fleuren
This network shows the impact of papers produced by Lucas M. Fleuren. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lucas M. Fleuren. The network helps show where Lucas M. Fleuren may publish in the future.
Co-authorship network of co-authors of Lucas M. Fleuren
This figure shows the co-authorship network connecting the top 25 collaborators of Lucas M. Fleuren. A scholar is included among the top collaborators of Lucas M. Fleuren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lucas M. Fleuren. Lucas M. Fleuren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 34 | |
| 10 | 4 | |
| 11 | Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression | 1 |
| 12 | 13 | |
| 13 | 47 | |
| 14 | 21 | |
| 15 | Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracybreakdown → | 414 |
| 16 | 23 | |
| 17 | 14 | |
| 18 | 14 | |
| 19 | 25 | |
| 20 | 27 |
About Lucas M. Fleuren
Lucas M. Fleuren is a scholar working on Pharmacology, Applied Microbiology and Biotechnology and Family Practice, having authored 22 papers that have together received 708 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (12 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Hemodynamic Monitoring and Therapy (7 papers). The work is most often cited by research in Health Informatics (91 citations), Family Practice (52 citations) and Applied Microbiology and Biotechnology (41 citations). Lucas M. Fleuren has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Paul Elbers, Patrick Thoral, Armand R. J. Girbes, Luca F. Roggeveen, Tingjie Guo, Ari Ercole, Eleonora L. Swart, Mark Hoogendoorn, Thomas Klausch and Charlotte Zwager. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Antimicrobial Agents and Chemotherapy and Pharmaceutical Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.